Smart City Gnosys

Smart city article details

Title	Smart City Solutions For Traffic Management
ID_Doc	50500
Authors	Niranjan M.; Nachiketh K.S.; Kashyap N.; Balakrishna A.B.; Subbarao A.M.
Year	2025
Published	Lecture Notes in Electrical Engineering, 1219 LNEE
DOI	http://dx.doi.org/10.1007/978-981-97-4540-1_8
Abstract	Traffic congestion is a major problem in urban areas of India affecting the quality of life for the citizens. Traditional methods of traffic monitoring and management have limitations in terms of accuracy and scalability. There is a need for a more efficient and reliable system that can collect real-time traffic data and provide direct actionable insights to traffic authorities. In this paper, we propose to develop a cloud-based system consisting of a mobile application and a website, supported by a cloud-based server, that will collect real-time traffic data from collaborative users anonymously and use analytics to generate traffic density reports. The mobile application will be used to collect the real-time data from the user. These data will be sent to the cloud server where it will be used for report generation. This report will be displayed to the authorities using a website, which would assist them in taking the right decisions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Author Keywords	Anonymity; Cloud-based system; Data analysis; Mobile application; Real-time traffic data; Report generation; Website

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